ENBIS-16 in Sheffield

11 – 15 September 2016; Sheffield Abstract submission: 20 March – 4 July 2016

Data Mining for Social and Economic Benefits - An Example from an Assistive Technology Company

13 September 2016, 09:20 – 09:40

Abstract

Submitted by
Sophie Whitfield
Authors
Sophie Whitfield (Newcastle University), Shirley Coleman (Newcastle University), Joanna Berry (Durham University)
Abstract
As people live longer, businesses and research communities are looking for ways to increase the period of self-sufficiency which people enjoy, and ways to improve their quality of life.

Rapid expansion in the 21st century of technologies to capture and store information, enables companies to have enormous amounts of data at their disposal. Increasingly, companies are aware that their data can provide them with business advantages: their company data can be monetised and gaps in the market can be uncovered. Newcastle and Durham Universities are working in a Knowledge Transfer Partnership (KTP) with a small to medium enterprise (SME) called ADL Smartcare Limited who, over the last 13+ years has developed an expert system which elicits individualised information about a person’s capabilities, physical environment and Activity of Daily Living (ADL) needs and offers bespoke solutions which satisfy all the conditions of suitability and safety.

Data mining techniques, such as market basket analysis and decision trees are applied to quantitative and qualitative data from ADL Smartcare’s 70,000+ assessments to determine the best business models and financial structures to monetise the data.

Business models are developed to allow interactive interrogation of the dataset; customised reports, bespoke data visualisation and fact sheets.

The insight can inform decisions, encourage innovation and positively impact older people, helping them stay independent at home for longer, with considerable economic and social benefits.
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